Cloud Manufacturing Service Scheduling Optimization Considering Energy Consumption and User Utility
For multi-user manufacturing task scheduling problem,most research ignores the effect of energy consumption on cloud manufacturing system.Considering the interests of cloud service demanders and cloud service providers,a multi-objective multi-user task scheduling model is established to minimize energy consumption of service providers and maximize user utility.Then,a hybrid multi-objective algo-rithm HNSGAⅡ is designed by combining simulated annealing algorithm(SA)with non-dominated sorting genetic algorithm(NSGA-Ⅱ)to solve the model.By numerical example analysis,the feasibility of pro-posed model is validated,and this model can generate different scheduling schemes for users with differ-ent requirements in cloud manufacturing(CMfg)platform.Finally,compared with NSGA-Ⅱ and SPEA2 on different scale experiments,simulation results show that the proposed approach can obtain high quality solution.
万方数据
维普
